Instructor - Agentic AI

About Us

Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, artificial intelligence, cybersecurity, product management, and more—skills that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2,000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.

Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with top US universities to grow internationally.
Position Overview

The Online Trainer – Agentic AI, Machine Learning & Generative AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our advanced AI and Agentic AI programmes.

The trainer will facilitate live online training sessions covering Agentic AI, AI Agents, Generative AI, Large Language Models, Machine Learning, Deep Learning, NLP, and AI-powered automation .

This role involves explaining complex AI concepts, demonstrating agentic AI architectures and workflows, conducting hands-on demonstrations using modern AI frameworks and tools, and connecting technical concepts with real-world business applications.

The ideal candidate should have strong hands-on experience building or implementing AI agents, multi-agent systems, LLM-powered applications, RAG pipelines, tool-using agents, and AI automation workflows .

Classes are delivered 100% online in a synchronous, instructor-led format.
Key Responsibilities

Deliver live online instructor-led training sessions covering Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, and Large Language Models.

Cover core Agentic AI and Generative AI topics including:

- Agentic AI fundamentals and evolution

- AI Agents and autonomous AI systems

- Agent architectures and agentic workflows

- Large Language Models and LLM-powered applications

- Prompt Engineering and advanced prompting techniques

- Retrieval-Augmented Generation (RAG)

- Tool calling and function calling

- AI agent memory and context management

- Planning, reasoning, and task decomposition

- Multi-agent systems and agent collaboration

- AI workflow automation

- LLM orchestration

- Machine Learning and Deep Learning fundamentals

- Neural Networks, Attention Mechanisms, and Transformers

- Natural Language Processing and text classification

- BERT, GPT, GANs, VAEs, and Diffusion Models

- Responsible AI, security, bias, and ethical considerations

- Emerging trends in Agentic AI and autonomous AI systems

Prepare and continuously update:

- Training presentations

- Learning materials

- Practical exercises

- Hands-on activities

- Agentic AI demonstrations

- AI agent use cases

- Real-world business case studies

- Templates and reference materials

Conduct interactive workshops, Q&A sessions, quick knowledge checks, guided practice, and hands-on demonstrations.

Conduct practical demonstrations using modern AI frameworks, platforms, and tools such as:

- LangChain

- LangGraph

- CrewAI

- AutoGen

- ChatGPT

- Hugging Face

- AI APIs and LLM platforms

- RAG frameworks and vector databases

- Workflow automation platforms

Guide learners through real-world Agentic AI scenarios using practical business and industry examples.

Demonstrate how AI agents can be designed to reason, plan, use tools, retrieve information, collaborate with other agents, and automate multi-step workflows.

Support learners in developing practical skills for building and implementing LLM-powered applications and Agent